Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia
Information about current land cover type is essential at a certain level to ensure the optimum use of the land resources. Several approaches can be used to estimate land cover area, where remote sensing and Geographic Information System (GIS) is among the method. Therefore, this study was underta...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English English |
Published: |
2009
|
Online Access: | http://psasir.upm.edu.my/id/eprint/7346/1/Mapping%20and%20Quantification%20of%20Land%20Area%20and%20Cover%20Types%20with%20Landsat%20in%20Carey%20Island.pdf http://psasir.upm.edu.my/id/eprint/7346/ http://www.ccsenet.org/journal/index.php/mas/article/view/658 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Putra Malaysia |
Language: | English English |
Summary: | Information about current land cover type is essential at a certain level to ensure the optimum use of the land resources.
Several approaches can be used to estimate land cover area, where remote sensing and Geographic Information System
(GIS) is among the method. Therefore, this study was undertaken to evaluate how reliable these technologies in preparing
information about land cover in Carey Island, Selangor of Peninsular Malaysia. Erdas Imagine 9.1 was used in digital
image processing. A primary data of Landsat TM, with spatial resolution of 30 m was acquired from scene 127/58 on July
2007. Area estimate was calculated using direct expansion method from samples proportion of each segments of land
cover type (1 km by 1 km sample size). In this study, four classes of land cover type have been identified and the areas
were oil palm, mangrove, water bodies and urban/bare land area. The area estimate for all classes are 11039.28 ha (oil
palm), 5242.86 ha (mangrove), 4894.92 ha (water bodies), and 4751.96 ha (urban/bare land), respectively. The overall
classification accuracy obtained for this study is 96%. The results showed that the use of direct expansion method for
estimating land cover type area is practical to be used with remote sensing approaches. |
---|